Evidence map›Paper›PMID 38978684›Full record

ArticleAnnals of surgical treatment and research2024

A personalized prognostic model for long-term survival in patients with intrahepatic cholangiocarcinoma: a retrospective cohort study.

Xianhui Dong, Pengwei Zhang, Chunhong Ye, Li Li

Abstract read
In one paragraph

Article in Annals of surgical treatment and research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Xianhui DongCenter for Pre-Disease Treatment and Health Management, Affiliated Hospital of Hangzhou Normal University, Hangzhou Normal University, Hangzhou, China.ORCID https://orcid.org/0000-0003-1761-7923
Pengwei ZhangCenter for Pre-Disease Treatment and Health Management, Affiliated Hospital of Hangzhou Normal University, Hangzhou Normal University, Hangzhou, China.ORCID https://orcid.org/0000-0002-8338-6150
Chunhong YeHangzhou Normal University, Hangzhou, China.ORCID https://orcid.org/0009-0008-0178-1001
Li LiHangzhou Normal University, Hangzhou, China.ORCID https://orcid.org/0000-0002-4384-4663

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to determine the optimal cutoff points for age and tumor size of patients with intrahepatic cholangiocarcinoma (ICC) and to establish and verify a predictive nomogram of overall survival at 1, 3, and 5 years. Methods: From the SEER (Surveillance, Epidemiology, and End Results) database, 1,325 ICC patients were selected and randomly divided into training and testing cohorts at a 7:3 ratio. Using the X-tile software, age and tumor size were classified into 3 subgroups: ≤61, 62-74, and ≥75 years and ≤35, 36-55, and ≥56 mm. Subsequently, univariate and multivariate Cox regression analyses were performed using the R software in the training cohort to determine independent risk factors, compile the prediction nomogram, and verify it with the testing cohort findings. Results: The C-indexes of the new prediction nomograms in the training and testing cohorts were 0.738 (95% confidence interval [CI], 0.718-0.758) and 0.750 (95% CI, 0.72-0.78), respectively. Furthermore, the areas under the 1-, 3-, and 5-year receiver operating characteristic (ROC) curves based on the nomogram were 0.792, 0.853, and 0.838, respectively, higher than the ROC based on the 7th and 8th editions of the American Joint Cancer Commission (AJCC) staging system. Conclusion: This study established and verified a prognostic nomogram that improved the accuracy of the 1-, 3-, and 5-year survival predictions for ICC patients, compared with that based on the 7th and 8th editions of the AJCC staging system, and can help clinicians make personalized survival predictions.

Indexed as

CholangiocarcinomaNeoplasmsNomogramsSurvival

Identifiers

PMID38978684
PMCPMC11227918

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